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ESWA
2006
139views more  ESWA 2006»
15 years 3 months ago
An efficient data mining approach for discovering interesting knowledge from customer transactions
Mining association rules and mining sequential patterns both are to discover customer purchasing behaviors from a transaction database, such that the quality of business decision ...
Show-Jane Yen, Yue-Shi Lee
135
Voted
ASSETS
2007
ACM
15 years 8 months ago
Data visualisation and data mining technology for supporting care for older people
: The overall purpose of the research discussed here is the enhancement of home-based care by revealing individual patterns in the life of a person, through modelling of the "...
Nubia M. Gil, Nick A. Hine, John L. Arnott, Julien...
KDD
2008
ACM
274views Data Mining» more  KDD 2008»
16 years 4 months ago
Data mining using high performance data clouds: experimental studies using sector and sphere
We describe the design and implementation of a high performance cloud that we have used to archive, analyze and mine large distributed data sets. By a cloud, we mean an infrastruc...
Robert L. Grossman, Yunhong Gu
PKDD
2000
Springer
159views Data Mining» more  PKDD 2000»
15 years 7 months ago
An Apriori-Based Algorithm for Mining Frequent Substructures from Graph Data
Abstract. This paper proposes a novel approach named AGM to eciently mine the association rules among the frequently appearing substructures in a given graph data set. A graph tran...
Akihiro Inokuchi, Takashi Washio, Hiroshi Motoda
238
Voted
ICDE
2008
IEEE
136views Database» more  ICDE 2008»
16 years 5 months ago
T-Time: Threshold-Based Data Mining on Time Series
Mining time series data is an important approach for the analysis in many application areas as diverse as biology, environmental research, medicine, or stock chart analysis. As nea...
Alexey Pryakhin, Hans-Peter Kriegel, Johannes A&sz...